function [ classifier_feature_val ] = get_feature_param( classifier_feature_val, classifiers )

if ~iscell(classifiers)
    error('Classifiers should be cell.');
end

for i=1:length(classifiers)
    tmp_clsfr = classifiers{i};
    for j=1:length(tmp_clsfr.classes)
        tmp_fval = classifier_feature_val{i}.features{j}.val;
        

        %remove outliers
        %tmp_fval = sort(tmp_fval);
        %l = size(tmp_fval, 1);
        %if l>10
        %    tmp_fval = tmp_fval(1+[floor(l*0.1):ceil(l*0.9)], :);
        %end
        
        classifier_feature_val{i}.features{j}.val = tmp_fval;
        classifier_feature_val{i}.features{j}.mu = mean(tmp_fval);
        classifier_feature_val{i}.features{j}.sigma = std(tmp_fval);
    end
end

end
